Evidence map›Paper›PMID 39257874›Full record

ArticleDigital health

Utilization and engagement with an employer-provided digital mental health platform: An international perspective.

Giulia Maistrello, William Phillips, Daniel Steven Lee, Robert J Romanelli

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Giulia MaistrelloRand Europe, Cambridge, UK.ORCID https://orcid.org/0000-0002-2099-006X
William PhillipsRand Europe, Cambridge, UK.
Daniel Steven LeeRand Europe, Cambridge, UK.ORCID https://orcid.org/0009-0006-2696-8230
Robert J RomanelliRand Europe, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This retrospective study (2020-2022) compared the usage patterns across international regions of an employer-provided digital mental health platform, which is available in native languages and offers both self-guided digital activities and one-on-one sessions. Methods: Routine data from the platform were analyzed by describing the demographic profile of 178,119 users from different geographical regions, their baseline mental health status and burnout levels, as well as patterns of engagement. Statistical analyses were conducted using logistic and ordered logit models to examine the association between cumulative engagement with the platform over time and baseline characteristics. Results: The platform had high engagement and satisfaction levels across regions and age groups. Female users were more engaged than males in both self-guided digital activities and one-on-one sessions. Older users and those from non-US regions were more engaged in self-guided digital activities, while younger users and those from the US were more engaged in one-on-one sessions. Symptoms of anxiety were also associated with engagement with one-on-one sessions. Conclusions: The study's findings provide valuable insights into the benefits of digital platforms in addressing mental health needs of employers from different regions. Future research should focus on exploring the specific factors that influence engagement with digital mental health platforms and how these platforms can be optimized and tailored to better serve diverse populations.

Indexed as

anxietyappsdepressionDigital healthgeneralmental healthmHealthpersonalized medicinepsychologyquantitativestudieswellbeing

Identifiers

PMID39257874
PMCPMC11384541

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.